B.Tech CSE · AI & ML · 2027

SHRISH MARUGE

Data Science & Machine Learning Engineer
Building Real-World AI Solutions

Developed ML systems achieving 95% face recognition accuracy and 89% drug prediction accuracy — deploying end-to-end AI pipelines from data collection to production-ready web interfaces.

View Projects → ↓ Resume GitHub ↗

● Available from 2026 · Hyderabad, India

// Quick Stats Active

Face Recog. Accuracy95%

Drug Prediction Acc.89%

Model Efficiency Boost+15%

Certifications15+

Projects Built10+

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Technical Arsenal

Skills & Tools

🐍88%

Languages & Libraries

PythonPandas NumPyScikit-learn SQLMySQL

🤖82%

Data Science & ML

ClassificationPredictive Modeling MatplotlibSeaborn Feature Selection

👁️79%

Computer Vision

OpenCVFace Recognition Real-time Processing

🌐85%

Web Development

DjangoFlask HTML/CSSJavaScript

🛠️75%

Tools & Platforms

JupyterGit GitHubVS Code

Work

Featured Projects

01 Computer Vision

Student Face Biometric Attendance System

Problem

Manual attendance in classrooms is time-consuming, error-prone, and easily manipulated — wasting 5–10 minutes per lecture.

Solution

Engineered a real-time face recognition pipeline using OpenCV and face_recognition library — automating end-to-end attendance logging.

⚡ 95% Accuracy 🔴 Real-time 🕐 90% Time Saved

PythonOpenCVface_recognitionNumPy

02 Full Stack

Luxury E-Commerce Platform

Problem

Small luxury brands needed a scalable web storefront with automated order management and invoice generation — without recurring SaaS subscription costs.

Solution

Built a complete Django MVC web platform with authentication, cart, admin panel, and automated PDF invoice generation from scratch.

🛒 Full Stack MVC 📄 Auto Invoice 🔐 Auth System

DjangoPythonHTML/CSSJavaScriptSQLite

03 Machine Learning

Drug Recommendation System

Problem

Healthcare providers needed a reliable system to suggest appropriate medications based on patient demographics and medical conditions — reducing manual lookup time.

Solution

Trained a Scikit-learn classification model with intelligent feature selection, achieving 89% accuracy, deployed via a Django patient-facing interface.

🎯 89% Accuracy 📈 +15% Efficiency 🏥 Healthcare AI

Scikit-learnDjangoPythonPandasML

Applied feature selection techniques improving model efficiency by 15% without accuracy loss
Achieved 89% prediction accuracy across 5 drug categories using cross-validation
Reduced prescriber decision time by 80% with instant AI-driven suggestions
Deployed full-stack with Django REST endpoints and a clean patient-facing UI

Open Source

GitHub Activity

Shrish Maruge

@ShrishMaruge

B.Tech CSE (AI & ML) student building real-world AI systems. Passionate about ML pipelines, computer vision, and full-stack development.

10+

Repos

15+

Certs

AI Projects

⭐ Featured

face-biometric-attendance

Real-time face recognition attendance system using OpenCV — 95% accuracy, fully automated pipeline replacing manual tracking.

Python OpenCV Computer Vision

⭐ Featured

drug-prediction-django

ML-powered healthcare drug recommendation system. 89% prediction accuracy with feature-selected Scikit-learn classification model.

Python Scikit-learn Django ML

Ecommers-luxury-django

End-to-end luxury e-commerce platform — cart, auth, order management, and automated PDF invoicing on Django MVC architecture.

Django Python Full Stack

View All Repositories ↗

Value Proposition

Why Hire Me

I don't just build models — I build end-to-end AI systems that go from raw data to production-ready interfaces.

Measurable Impact

Every project I deliver includes quantified outcomes — 95% accuracy, 89% prediction rate, 90% effort reduction. I focus on results, not just implementation.

Full-Stack AI Thinking

I combine ML expertise with web development — building models AND the applications that deploy them. No handoff needed between data science and engineering.

Real-World Problem Solver

I work on genuine problems — healthcare prediction, biometric automation — not just Kaggle competitions. My projects address real operational inefficiencies.

Fast Learner, Proven Executor

15+ certifications across Python, Data Science, and Deep Learning while maintaining active project delivery. I move quickly from learning to application.

Ready to contribute from day one

I bring hands-on experience with Python, ML pipelines, OpenCV, Django, and Flask — technologies your team likely uses today. Available for internships from May 2026.

Let's Talk → LinkedIn ↗

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